rqt

Offers gene-level genome-wide association study (GWAS) meta-analysis. rqt can be integrated into bioinformatics pipeline or used as a stand-alone. It consists of three steps: (1) reducing the number of predictors, thereby alleviating correlation problem in variants; (2) fitting the regression on the reduced dataset to obtain corresponding regression coefficient; (3) pooling these coefficients into a total index representing a total gene-level effect size and calculating corresponding statistics.